Systems | Development | Analytics | API | Testing

katalon

The Future of Software Testing: Why This Conversation Matters Right Now

Oct 14, 2026 By Rosie Nguyen In Katalon
AI is no longer on the horizon. It is already reshaping how software is built, tested, and released, and it is moving faster than most quality processes were designed to absorb. Developers are shipping AI-written code at speed. Test teams are generating test cases, maintaining suites, and triaging defects with AI. But speed cuts both ways. AI magnifies the process it enters. Strong quality practices can become faster and more scalable.
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katalon

Keep the Intent. Throw Away the Script.

Oct 14, 2026 By Alex Martins In Katalon
I'll give you the takeaway from this blog right now: the part of a test worth keeping is what it's meant to prove, not the script that proves it. Scripts have become cheap to generate, so we should stop treating them as something precious to maintain. Keep the intent. Throw away the script. Last time I wrote that the first time an AI agent runs a manual test case, it can leave an automated test behind, and every later run can use that script instead of the natural-language steps.
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zymr

Multi-Factor Authentication in Healthcare: Balancing Security and Clinical Speed

Oct 14, 2026 By Jay Kumbhani In Zymr
‍ Multi-factor authentication verifies user identity through two or more distinct authentication factor categories. These include something users know, possess, or inherently are, such as biometric characteristics. The multi-factor authentication healthcare organizations deploy protects electronic health records, remote access, and clinical applications. Healthcare authentication must accommodate shared workstations, frequent user changes, and time-sensitive clinical tasks.
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Ep 96 | Leaving the Sandbox: AI In the Real World

Oct 14, 2026 By Cloudera, Inc. In Cloudera
The AI worked in the sandbox. Then it met the real world. David Hardoon learned that lesson during an ATM optimization project designed to improve cash-delivery routes. Once deployed, the system collided with traffic and unpredictable schedules, which are the realities that face the people doing the work. Recorded at *EVOLVE26* Singapore, this episode of The AI Forecast brings Paul Muller together with David Hardoon, Head of Advanced AI at Accenture, to explore why the human side of AI transformation can determine whether promising technology ever delivers value in production.
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loadfocus

How Multi-Region Deployment Changes Load Testing Results

Oct 14, 2026 By Chris In LoadFocus
Multi-region deployment fundamentally changes performance expectations and testing priorities. Unlike single-region or multi-AZ setups, distributing workloads across continents introduces higher latency, longer failover times, and asynchronous replication. These realities require a new approach to load testing.
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Governed End to End: How Spotter Analysts Control Data Access

Oct 14, 2026 By ThoughtSpot In ThoughtSpot
Before any data leader deploys an AI analyst, they ask the same question: what can it touch? In this video, see how Spotter Analysts are governed end to end. What you’ll see: → How admins control which certified models a Spotter Analyst can read→ How data access travels with a shared analyst→ How “show work” traces every answer back to its source→ What governed end to end means in a production agentic analytics environment.
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Why B2B Software Is Being Judged by B2C Standards

Oct 14, 2026 By ThoughtSpot In ThoughtSpot
The bar for B2B software is being set by B2C experiences. In this clip, Kim Faura, former Managing Director at Gumtree, joins ThoughtSpot's Jane Smith and Mark Hill-Smith to talk about what this expectation shift means for product teams, and what it takes to close the gap between what B2B tools deliver today and what users now expect.
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databox

New: Give Your AI Analyst the Context to Explain Performance and Help You Take Action

Oct 14, 2026 By Monise Branca In Databox
You open your performance dashboard and notice that your sales pipeline has dropped 15% since last week. You can see the decline, but the numbers alone don’t explain what caused it. Maybe several deals were pushed into next quarter, your team lost a major opportunity, or a campaign generated fewer qualified leads than expected. The answers are likely somewhere in your CRM, project management tool, or conversations your team has been having.
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smartbear

TestComplete vs. Tricentis Tosca vs. Ranorex: Which test automation approach fits your team?

Oct 14, 2026 By SmartBear In SmartBear
Test automation gets harder when the application portfolio stops looking like a modern web stack. Desktop clients, packaged systems, internal applications, and long-lived business software all create different requirements for how teams build, run, and maintain tests. In an AI-disrupted SDLC, the rest of the stack changes even faster, and the risk concentrated in those systems grows with it.
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